Recent developments in Reinforcement Learning (RL) have resulted in near-human ability in competitive games such as Go, StarCraft and Dota 2, at the cost of significant computing power. An often under-looked element of training RL is the satisfaction that researchers and enthusiasts gain while watching their agents evolve and learn. In this 2024 AI Summit talk, Co-Directors Nick Counter and Dante Camarena present the work done in constructing Little Learning Machines, a game designed to bring the experience of training your own AI to players of any skill level.
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